Ian Goodall
- Endocrinology, Diabetes and Metabolism top 1%
- Molecular Biology
- Food Science top 5%
- Analytical Chemistry top 2%
- Biomedical Engineering
- Co-authors
- W. Garry JohnCas WeykampAndrea MoscaTadao HoshinoKor MiedemaRandie R. LittleDušan Uhrı́nJan‐Olof Jeppsson
- Topics
- Diabetes Management and Research (12 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (12 papers)Metabolomics and Mass Spectrometry Studies (8 papers)
- Cited by
- Endocrinology, Diabetes and MetabolismAnalytical ChemistryTourism, Leisure and Hospitality Management
- Journals
- SHILAP Revista de lepidopterologíaAnalytical ChemistryDiabetes Care
- Partner nations
- United KingdomAustraliaUnited States
In The Last Decade
Ian Goodall
34 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Endocrinology, Diabetes and Metabolism 866
- Molecular Biology 397
- Food Science 237
- Analytical Chemistry 229
- Biomedical Engineering 228
Countries citing papers authored by Ian Goodall
This map shows the geographic impact of Ian Goodall's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ian Goodall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ian Goodall more than expected).
Fields of papers citing papers by Ian Goodall
This network shows the impact of papers produced by Ian Goodall. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ian Goodall. The network helps show where Ian Goodall may publish in the future.
Co-authorship network of co-authors of Ian Goodall
This figure shows the co-authorship network connecting the top 25 collaborators of Ian Goodall. A scholar is included among the top collaborators of Ian Goodall based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ian Goodall. Ian Goodall is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 31 | |
| 3 | 21 | |
| 4 | 50 | |
| 5 | 10 | |
| 6 | 61 | |
| 7 | 64 | |
| 8 | 6 | |
| 9 | 6 | |
| 10 | 62 | |
| 11 | 10 | |
| 12 | Desirable performance standards for HbA(1c) analysis precision, accuracy and standardisation | 5 |
| 13 | 49 | |
| 14 | HbA1c standardisation: history, science and politics. | 40 |
| 15 | 36 | |
| 16 | 8 | |
| 17 | 13 | |
| 18 | 79 | |
| 19 | 3 | |
| 20 | 0 |
About Ian Goodall
Ian Goodall is a scholar working on Analytical Chemistry, Endocrinology, Diabetes and Metabolism and Tourism, Leisure and Hospitality Management, having authored 35 papers that have together received 1.8k indexed citations. Recurring topics across this work include Diabetes Management and Research (12 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (12 papers) and Metabolomics and Mass Spectrometry Studies (8 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (866 citations), Analytical Chemistry (229 citations) and Tourism, Leisure and Hospitality Management (22 citations). Ian Goodall has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include W. Garry John, Cas Weykamp, Andrea Mosca, Tadao Hoshino, Kor Miedema, Randie R. Little, Dušan Uhrı́n, Jan‐Olof Jeppsson, William Kew and Helen M. Crews. Their work appears in journals such as SHILAP Revista de lepidopterología, Analytical Chemistry and Diabetes Care.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.